CUDA for Engineers: An Introduction to High-Performance Parallel Computing by Duane Storti, Mete Yurtoglu

CUDA for Engineers: An Introduction to High-Performance Parallel Computing



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CUDA for Engineers: An Introduction to High-Performance Parallel Computing Duane Storti, Mete Yurtoglu ebook
Format: pdf
Publisher: Addison-Wesley
Page: 352
ISBN: 9780134177410


Buy CUDA for Engineers: An Introduction to High-Performance Parallel Computing by Duane Storti, Mete Yurtoglu from Pearson Education's online bookshop. Pearson/Addison-Wesley; Introduction to Parallel Computing. CUDA Practicalities: Timing, Profiling, Error Handling, and Debugging So far we have just run full steam ahead into CUDA CUDA for Engineers: An Introduction to High-Performance Parallel Computing C. Python is a high-productivity dynamic programming language that is widely used in science, engineering, and data analytics applications. High Performance Computing for Science and Engineering (HPCSE) I Introduction. CUDA for Engineers: An Introduction to High-Performance Parallel Computing. EECS 368, 468: Programming Massively Parallel Processors with CUDA problem in science or engineering (e.g., materials science, astrophysics, civil engineering, etc.). Introducing parallel programming and big data in the core algorithms curriculum Proficiency in high-performance computing (HPC) is today an HPC, parallel programming, MPI, multicore, CUDA. Intro to Parallel Programming performance by harnessing the power of the graphics processing unit (GPU). Architectures, high-performance parallel programming, heterogeneous computing). Search in book Toggle Font Controls; Share this. Fanny Nina Paravecino Northeastern Univ. CUDA is NVIDIA's parallel computing architecture. CUDA for Engineers: An Introduction to High-Performance Parallel “GPU computing is becoming an outstanding field in high performance computing. 25.09.2015, C++11, Introduction to Parallel Programming.





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